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Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications.
Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.
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- EditoreEngineering Science Reference
- Data di pubblicazione2021
- ISBN 10 179988161X
- ISBN 13 9781799881612
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine330
- RedattoreMundada Monica R., S. Seema, G. Srinivasa K., Shilpa M.
- Contatto del produttorenon disponibile
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Deep Learning Applications for Cyber-Physical Systems (Advances in Systems Analysis, Software Engineering, and High Performance Computing)
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Engineering Science Reference, 2021
ISBN 10: 179988161X
ISBN 13: 9781799881612
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Deep Learning Applications for Cyber-Physical Systems
Editore:
Engineering Science Reference, 2021
ISBN 10: 179988161X
ISBN 13: 9781799881612
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learn. Codice articolo 531707658
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Deep Learning Applications for Cyber-Physical Systems
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Engineering Science Reference, 2021
ISBN 10: 179988161X
ISBN 13: 9781799881612
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems. Codice articolo 9781799881612
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